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Chinese Control Conference (CCC)

作者： Cheng Zhang Xuan Li Yuhang Xu Jie Wang Rongfu Chen Hubei Key Laboratory of Optical Information and Pattern Recognition China School of Electrical and Information Engineering Wuhan Institute of Technology

Most of the existing image fusion methods prefer to use the adversarial learning game to fuse infrared and visible imagess. However, such single adversarial mechanism makes image fusion task easily ignore global contextual information. To this end, this paper proposes a CNN-Transformer dual-process-based generative adversarial network (CTDPGAN) to fuse infrared and visible images. In generator, a dual-process-based module composed by a CNN block and a Swin-Transformer block is proposed. The channel filter and spatial filter in the CNN block has the ability to adaptively extract additional complementary information from images of various modalities while preserving the shallow features of the source images. The Swin-Transformer Block (STRB) is designed to establish local attention by dividing non-overlapping windows and then to bridge global attention by interacting windows. In addition, we introduce generative adversarial learning networks into the training process, the dual-channel transformer discriminators are designed to improve the discriminative ability of the fused image. Thus, the fused image learns the distribution of global contextual information from source images and retain competitive visible light and infrared domains in more balanced manner. Moreover, we introduce the primary and auxiliary feature concepts into the structural similarity loss function and spatial frequency loss function, which will enable the generator to produce a fused image that retains thermal radiation information and rich detail information. Finally, the experimental findings demonstrate that, in both subjective and objective assessments, our model produces outcomes that are equivalent to or superior compared to state-of-the-art image fusion methods.

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On realization of visualization system for global ocean simulation

On realization of visualization system for global ocean simu...

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International Conference on Audio, Language and Image Processing

作者： Ming, De-Lie Gao, Peng-Fei Wang, Mi State Key Laboratory for Multi-spectral Information Processing Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei Province 430074 China

ISBN: (纸本)9781424458653

Simulating and rendering realistic ocean is always one of the most popular and difficult tasks in computer graphics and oceanography. However, because of the restriction of computer software and hardware conditions, mass data and real-time, there are less people to research global ocean simulation. Under the background of global environment simulation, the paper describes a solution for the application of global ocean simulation on the basis of previous work, and realizes the visualization system successfully using OSG (OpenSceneGraph) API and all kinds of open-source libraries, and demonstrates the result of cross-sea flight. At last, we analysis the deficiencies of our solution and make some improvement suggestions. ©2010 IEEE.

关键词： Computer hardware

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A Smart Mathematic Morphology Method for recognition and Understanding of Airfield

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Wuhan University Journal of Natural Sciences 2005年第5期10卷 867-872页

作者： WANG Zhi-cheng TIAN Yan TIAN Jin-wen LIU Jian LIANG Chao-sheng TAO Wen-bin State Education Commission Key Laboratory for Image Processing and Intelligence Control Huazhong University of Science and Technology Wuhan430074 Hubei China Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 Hubei China

A method used for recognition and understanding of airfield based on mathematical morphology is proposed in this paper. The new approach can he divided into three steps. First, to extract the typical geometric structure features of airfield, a segmentation method called recursive Otsu algorithm is employed on an airfield image. Second, thinning and shrinking algorithms are utilized to obtain the contour of airfield with single pixel and to remove diffused small particles. Finally, Radon transform is adopted to extract two typical and important components, primary and secondary runways of airfield exactly. At the same time, region growing algorithm is exploited to get the other components such as parking apron and garages. The experimental results demonstrate that the proposed method gives good performance.

关键词： mathematical morphology shrinking algorithm Radon transform Region growing

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Underwater Non-uniform Illumination Image Correction Method Based on Dark Channel and Frequency Distribution Prior

Underwater Non-uniform Illumination Image Correction Method ...

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2021 China Automation Congress, CAC 2021

作者： Liu, Guang Wu, Shikang Shi, Yu Zhang, Yuerui Fei, Junxiong Hua, Xia School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Optical Information andPattern Recognition Wuhan Institute of Technology Wuhan430205 China

ISBN: (纸本)9781665426473

Light will gradually attenuate in the process of water medium propagation, which will lead to the problems of uneven illumination and low contrast of underwater images during underwater detection. In order to solve these problems, a new underwater non-uniform illumination image correction method is proposed in this paper. Firstly, based on the single image reflection interference separation algorithm, a new optimization algorithm is proposed to separate the reflection layer (the light reflected by the underwater object and the background) and the illumination layer (the light scattered in the water medium) in the underwater non-uniform illumination image. According to the frequency distribution of the illumination layer in the image, a low-frequency filter is introduced into the model as the constrained prior term of the illumination layer to better extract the illumination layer and accelerate its separation. At the same time, the dark channel prior is introduced to ensure that the reflector is separated more thoroughly;Secondly, due to the low contrast of the separated reflector, the adaptive gamma transform algorithm is used to enhance the reflector. Experimental results show that the proposed algorithm is effective in removing non-uniform illumination and restoring image brightness and detail information. © 2021 IEEE

关键词： Chemical detection

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Solution-Processed Fe2-Xmgxo3 Ternary Oxides for Interface Passivation in Efficient Perovskite Solar Cells

SSRN

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SSRN 2022年

作者： Wang, Zhengchun Shi, Chang Wang, Ziyi Xiao, Lan Wu, Tong Pingli, Qin Yu, Xueli Ma, Liang Chen, Xiangbai Zhang, Jiliang School of Optical Information and Energy Engineering Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan430205 China

Interface function material has been widely used to reduce interfacial potential barrier for enhanced charge-dynamics and photovoltaic properties of perovskite solar cells (PSCs). Herein, ternary oxides Fe2-xMgxO3 are introduced to passivate the perovskite/SnO2 quantum dots (QDs) interface. The interaction between perovskite and Fe2-xMgxO3 could trigger a heterogeneous nucleation for the uniform perovskite photoactive layer. The flocculent Fe2-xMgxO3 also increase the interface contact with perovskite enabling more transferring channel of electron, and decrease the interface-defects with smaller the energy level offset at this interface. Such oxide bridges between perovskite and SnO2 QD could effectively enhance electron transfer. Consequently, a Fe1.84Mg0.16O3-based PSC is achieved with a champion efficiency over 21% and negligible J–V hysteresis. © 2022, The Authors. All rights reserved.

关键词： Nanocrystals

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Wavelike dynamics for high harmonic generation in solids

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Physical Review B 2024年第19期109卷 195206-195206页

作者： Hubin Cui Liang Li Yuntian Zhang Sen Qiao Di Wu Pengfei Lan Peixiang Lu School of Physics and Wuhan National Laboratory for Optoelectronics Hubei Key Laboratory of Optical Information and Pattern Recognition CAS Center for Excellence in Ultra-intense Laser Science Shanghai 201800 China

We investigate the wavelike dynamics for high harmonic generation (HHG) in solids. Our results indicate that the wavelike behavior of electrons plays a crucial role in HHG process of solids. In solids, the group velocity dispersion, i.e., the second derivative of energy band, can lead to substantial spatial spread for the evolution of the electron wave packet. This kind of wavelike effect is embedded in the interference of electron-hole wavelets, and allows electrons and holes to be separated spatially when emitting HHG. Incorporating the wavelike effect, we show how one can understand the time-frequency properties of HHG from the perspective of wavelike picture. Furthermore, taking the gapped graphene as a prototype, we also demonstrate that the wavelike picture can well describe the two-dimensional electron dynamics and the emission intensity of HHG. Our analysis provides a comprehensive understanding of the HHG emission properties in solids, and shows how to comprehend the underlying electron dynamics from the perspective of wavelike picture.

关键词： High-order harmonic generation Light-matter interaction Semiconductors Schroedinger equation

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Development of a toroidal soft x-ray imaging system and application for investigating three-dimensional plasma on J-TEXT

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Plasma Science and Technology 2024年第3期26卷 94-99页

作者：赵传旭李建超张晓卿王能超丁永华杨州军江中和严伟李杨波毛飞越任正康 the J-TEXT Team International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic Engineering and School of PhysicsHuazhong University of Science and TechnologyWuhan 430074People's Republic of China Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of TechnologyWuhan 430205People's Republic of China International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074People's Republic of China

A toroidal soft x-ray imaging(T-SXRI)system has been developed to investigate threedimensional(3D)plasma physics on *** T-SXRI system consists of three sets of SXR *** sets are newly developed and located on the vacuum chamber wall at toroidal positionsφof 126.4°and 272.6°,respectively,while one set was established previously atφ=*** set of SXR arrays consists of three arrays viewing the plasma poloidally,and hence can be used separately to obtain SXR images via the tomographic *** sawtooth precursor oscillations are measured by T-SXRI,and the corresponding images of perturbative SXR signals are successfully reconstructed at these three toroidal positions,hence providing measurement of the 3D structure of precursor *** observed 3D structure is consistent with the helical structure of the m/n=1/1 *** experimental observation confirms that the T-SXRI system is able to observe 3D structures in the J-TEXT plasma.

关键词： SXR imaging J-TEXT tokamak three-dimensional measurement MHD

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All-optical attosecond time domain interferometry

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National Science Review 2021年第10期8卷 15-22页

作者： Zhen Yang Wei Cao Yunlong Mo Huiyao Xu Kang Mi Pengfei Lan Qingbin Zhang Peixiang Lu Wuhan National Laboratory for Optoelectronics and School of Physics Huazhong University of Science and Technology Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology CAS Center for Excellence in Ultra-intense Laser Science

Interferometry, a key technique in modern precision measurements, has been used for length measurement in engineering metrology and astronomy. An analogous time-domain interferometric technique would represent a significant complement to spatial domain applications and require the manipulation of interference on extreme time and energy scales. Here, we report an all-optical interferometer using laser-driven high order harmonics as attosecond temporal slits. By controlling the phase of the temporal slits with an external field, a time domain interferometer that preserves both attosecond temporal resolution and hundreds of me V energy resolution is implemented. We apply this exceptional temporal resolution to reconstruct the waveform of an arbitrarily polarized optical pulse, and utilize the provided energy resolution to interrogate the abnormal character of the transition dipole near the Cooper minimum in argon. This novel attosecond interferometry paves the way for high precision measurements in the time-energy domain using all-optical approaches.

关键词： interferometry attosecond all-optical precision measurement

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T2EA: Target-aware Taylor Expansion Approximation Network for Infrared and Visible Image Fusion

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IEEE Transactions on Circuits and Systems for Video Technology 2024年第5期35卷 4831-4845页

作者： Huang, Zhenghua Lin, Cheng Xu, Biyun Xia, Menghan Li, Qian Li, Yansheng Sang, Nong Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan Institute of Technology Wuhan430205 China Artificial Intelligence School Wuchang University of Technology Wuhan430223 China the School of Electrical Information Engineering Wuhan Donghu University Wuhan430212 China School of Remote Sensing and Information Engineering Wuhan University Wuhan430079 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China

In the image fusion mission, the crucial task is to generate high-quality images for highlighting the key objects while enhancing the scenes to be understood. To complete this task and provide a powerful interpretability as well as a strong generalization ability in producing enjoyable fusion results which are comfortable for vision tasks (such as objects detection and their segmentation), we present a novel interpretable decomposition scheme and develop a target-aware Taylor expansion approximation (T2EA) network for infrared and visible image fusion, where our T2EA includes the following key procedures: Firstly, visible and infrared images are both decomposed into feature maps through a designed Taylor expansion approximation (TEA) network. Then, the Taylor feature maps are hierarchically fused by a dual-branch feature fusion (DBFF) network. Next, the fused map of each layer is contributed to synthesize an enjoyable fusion result by the inverse Taylor expansion. Finally, a segmentation network is jointed to refine the fusion network parameters which can promote the pleasing fusion results to be more suitable for segmenting the objects. To validate the effectiveness of our reported T2EA network, we first discuss the selection of Taylor expansion layers and fusion strategies. Then, both quantitatively and qualitatively experimental results generated by the selected SOTA approaches on three datasets (MSRS, TNO, and LLVIP) are compared in testing, generalization, and target detection and segmentation, demonstrating that our T2EA can produce more competitive fusion results for vision tasks and is more powerful for image adaption. The code will be available at https://***/MysterYxby/T2EA. © 2024 IEEE.

关键词： Image fusion

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Non-uniform Strong Noise Removal Method of Non-cooperative Mine Target Image

Non-uniform Strong Noise Removal Method of Non-cooperative M...

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International Conference on information Science and Control Engineering (ICISCE)

作者： Shikang Wu Yu Shi Jinmeng Wu Hubei Key Laboratory of Optical Information and Pattern Recognition School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan China

The detection of mine targets will be interfered by the underwater non-uniform strong noise (organic matter, suspended particles, etc). To solve this problem, the paper proposes a novel denoising method. Firstly, a new optimization filtering algorithm LEP-EPC is proposed based on the local edge-preserving (LEP) filtering algorithm. A spatially adaptive edge perception constraint regularization term is introduced into the model to better represent the edges and details of the image, so that the edge-preserving and smoothing property of the algorithm is better. Secondly, the paper uses multi-scale strategy to solve the non-uniformity of strong noise, iteratively applies the LEP-EPC algorithm to the noise removal results of each scale to generate multi-scale decomposition, and gradually increases the denoising scale in the process of multi-scale decomposition. The strong noise of different scales is gradually separated from the mine targets image. The experimental results show that the proposed algorithm can remove the underwater non-uniform strong noise while retaining the mine target information, which also has a certain guiding significance for mine operation.

关键词： Adaptation models information science Smoothing methods Control engineering Image edge detection Noise reduction Object detection

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